Parameters of peripheral blood cell have been shown as the potential predictors of erectile dysfunction (ED). To investigate the clinical significance of hematological parameters for predicting the risk of rapid ejaculation, we established a rat copulatory model on the basis of ejaculation distribution theory. Blood samples from different ejaculatory groups were collected for peripheral blood cell counts and serum serotonin (5-HT) tests. Meanwhile, the relationship between hematological parameters and ejaculatory behaviors was assessed. Final analysis included 11 rapid ejaculators, 10 normal ejaculators, and 10 sluggish ejaculators whose complete data were available. The platelet (PLT) count in rapid ejaculators was significantly lower than that in normal and sluggish ejaculators, whereas the platelet distribution width (PDW) and mean platelet volume (MPV) were significantly greater in rapid ejaculators. Multivariate logistic regression analysis and receiver operating characteristic (ROC) curve analysis showed that the PLT was an independent protective factor for rapid ejaculation. Meanwhile, rapid ejaculators were found to have the lowest serum 5-HT compared to normal and sluggish ejaculators ( P < 0.001). Furthermore, there was a positive correlation between the PLT and serum 5-HT ( r = 0.662, P < 0.001), indicating that the PLT could indirectly reflect the serum 5-HT concentration. In addition, we assessed the association between the PLT and ejaculatory parameters. There was a negative correlation between ejaculation frequency (EF) and the PLT ( r = -0.595, P < 0.001), whereas there was a positive correlation between ejaculation latency (EL) and the PLT ( r = 0.740, P < 0.001). This study indicated that the PLT might be a useful and convenient diagnostic marker for predicting the risk of rapid ejaculation.
Male ; Animals ; Ejaculation/physiology* ; Rats ; Platelet Count ; Pilot Projects ; Serotonin/blood* ; Biomarkers/blood* ; Mean Platelet Volume ; Rats, Sprague-Dawley ; ROC Curve ; Erectile Dysfunction/physiopathology*

OBJECTIVE: To analyze the occurrence of arterial events and platelet parameters in patients with polycythemia vera (PV) and essential thrombocythemia (ET), and to explore the characteristics of platelet parameters in patients with PV and ET and their relationship with arterial complications. METHODS: The clinical and laboratory data of newly diagnosed PV and ET patients who visited the Department of Hematology, Beijing Anzhen Hospital, Capital Medical University from August 2017 to August 2022 were retrospectively analyzed. RESULTS: 86 MPN patients (46 males and 40 females) were enrolled, including 44 PV patients and 42 ET patients, with an median age of 61(23-83) years. The mutation rate of JAK2V617F gene, the number of megakaryocytes in bone marrow, the incidence of splenomegaly, and the levels of white blood cell count (WBC), hemoglobin (HGB), hematocrit (HCT), platelet distribution width (PDW), mean platelet volume (MPV), platelet-large cell ratio (P-LCR) in PV patients were significantly higher than those in ET patients (P < 0.05), while the levels of PLT and PCT were significantly lower than those in ET patients (P < 0.01). 22 cases (50%) of PV patients were complicated with arterial events, of which 12 had arterial stenosis in≥2 locations. Among arterial events, the PDW of PV patients with ischemic stroke was greater than that of PV patients without ischemic stroke (P =0.003), and the PDW of PV patients with arterial stenosis in≥2 locations was greater than that of PV patients with arterial stenosis in≤1 location (P =0.037). 23 cases (54.8%) of ET patients were complicated with arterial events, and 7 cases had arterial stenosis in≥2 locations. In arterial events, the PCT of ET patients complicated with ischemic stroke was greater than that of ET patients without ischemic stroke (P =0.037), and the PCT of ET patients with≥2 locations of arterial stenosis was greater than that of ET patients with≤1 location of arterial stenosis (P =0.049). The binary logistic regression analysis showed that elevated PDW and PCT were risk factors for ischemic stroke in PV and ET patients, respectively (P < 0.05). CONCLUSION The platelet parameters of PV and ET patients exhibit significantly different characteristics. Elevated PDW and PCT can predict a higher risk of ischemic stroke in PV and ET patients, respectively.
Humans ; Middle Aged ; Female ; Male ; Aged ; Retrospective Studies ; Adult ; Thrombocythemia, Essential/blood* ; Myeloproliferative Disorders/complications* ; Aged, 80 and over ; Polycythemia Vera/blood* ; Blood Platelets ; Platelet Count ; Young Adult ; Mean Platelet Volume

OBJECTIVE: To compare and analyze the changes of aggregation rate and routine parameters of platelets stored in temperature cycle, cold storage at 4 ℃ and oscillating storage at 22 ℃, so as to provide more experimental data for platelet preservation methods. METHODS: Blood samples were collected at 5 time points on the 1^st, 2^nd, 3^rd, 4^th and 6^th day after platelet cycling preservation at temperature, cold storage at 4 ℃, and oscillating storage at 22 ℃. Platelet maximum aggregation rate (MAR) and routine parameters including platelet count (PLT), mean platelet volume (MPV), platelet distribution width (PDW) and platelet-larger cell ratio (P-LCR) were detected. RESULTS: The platelet MAR of three groups showed a significant decrease trend with the preservation time, the fastest decrease was in the 22 ℃ group, the slowest was in the 4 ℃ group, and the temperature cycle group was between the two groups. On the 3^rd day of preservation, the platelet MAR in 4 ℃ group was still in the normal range (MAR>60%), while in temperature cycle group was about 50%, and in 22 ℃ group was the lowest. On the 4^th day of preservation, platelet MAR in all the three groups was lower than 50%, and that in temperature cycle group was significantly lower than in 4 ℃ group but higher than in 22 ℃ group (both P < 0.05). On the 6^th day of preservation, platelet MAR in the temperature cycle group was significantly lower than that in the 4 ℃ group ( P <0.05), but there was no statistically significant difference compared to 22 ℃ group (P >0.05). PLT values in the three groups were all significantly decreased with the preservation time extension, and were significantly lower than those in the early stage of preservation within 6 days (all P < 0.05). PDW in temperature cycle group had no significant change within 6 days of preservation, but MPV and P-LCR were significantly increased. MPV, PDW and P-LCR all decreased significantly in 4 ℃ group within 6 days of preservation but increased in 22 ℃ group. Under the same storage days, PLT value of temperature cycle group had no significant difference with that of 4 ℃ group and 22 ℃ group, while MPV, PDW and P-LCR values were significantly higher than 4 ℃ group but lower than 22 ℃ group (all P < 0.05). CONCLUSION The aggregation function and routine parameters changes of temperature circulating preserved platelets are between 4 and 22 ℃.
Humans ; Platelet Aggregation ; Blood Preservation/methods* ; Temperature ; Blood Platelets ; Platelet Count ; Mean Platelet Volume ; Cryopreservation/methods* ; Cold Temperature

OBJECTIVE: To investigate the expression levels and combined detection efficiency of serum mean corpuscular volume (MCV), mean platelet volume (MPV), and tumor gene ( WT-1) in elderly patients with myelodysplastic syndrome (MDS). METHODS: One hundred elderly MDS patients admitted to our hospital from January 2020 to January 2021 were selected as observation group, and eighty healthy subjects during the same period were selected as control group. The levels of MCV, MPV and WT-1 were detected, and receiver operating characteristic (ROC) curve was drawn to analyze the value of combined detection of the three indicators in the prediction of MDS. The expression and correlation of MCV, MPV and WT-1 in elderly patients with MDS were analyzed and evaluated. RESULTS: The levels of MCV, MPV, and WT-1 in the observation group were higher than those in the control group (all P <0.001). Pearson correlation analysis showed that MCV was positively correlated with MPV and WT-1 (r =0.724, 0.733), while MPV was positively correlated with WT-1 (r =0.731). MCV, MPV, and WT-1 were independent influencing factors for elderly MDS (all P <0.05). The combined detection of the three indicators had the largest area under the curve (AUC) (0.873, 95%CI : 0.776-0.893) in the diagnosis of elderly MDS, with a sensitivity of 95.00%, a specificity of 90.00%, and Youden index of 0.850. The diagnostic value was significantly higher than that of a single indicator (both P <0.05). The levels of MCV, MPV, and WT-1 in severe patients were significantly higher than those in mild patients (all P <0.01). Logistic regression analysis showed that high expression of MCV, MPV, and WT-1 were influencing factors of severe elderly MDS. The ROC curve analysis showed that the combined diagnosis of MCV, MPV and WT-1 had the largest AUC for predicting severe MDS in elderly patients (0.897, 95%CI : 0.709-0.926), and the sensitivity and specificity were 93.18% and 91.07%, respectively (P <0.05). CONCLUSION MCV, MPC, and WT-1 are highly expressed in elderly patients with severe MDS. These three indicators can reflect the bone marrow hematopoietic function status of the subjects. However, compared with single indicator detection, the combined detection of the three indicators is more effective in diagnosis. It has certain advantages in elderly MDS and disease staging, and its promotion and application value is higher.
Humans ; Myelodysplastic Syndromes/blood* ; Aged ; WT1 Proteins/blood* ; Mean Platelet Volume ; Erythrocyte Indices ; ROC Curve ; Male ; Female

OBJECTIVE: To investigate the application value of pediatric sepsis-induced coagulation (pSIC) score and mean platelet volume/platelet count (MPV/PLT) ratio in the diagnosis of pediatric sepsis and the determination of critical pediatric sepsis. METHODS: A retrospective cohort study was conducted, selecting 112 children with sepsis (sepsis group) admitted to pediatric intensive care unit (PICU) of Liaocheng Second People's Hospital from January 2020 to December 2023 as the study objects, and 50 children without sepsis admitted to the pediatric surgery department of our hospital during the same period for elective surgery due to inguinal hernia as the control (control group). The children with sepsis were divided into two groups according to the pediatric critical case score (PCIS). The children with PCIS score of ≤ 80 were classified as critically ill group, and those with PCIS score of > 80 was classified as non-critically ill group. pSIC score, coagulation indicators [prothrombin time (PT), international normalized ratio (INR), activated partial thromboplastin time (APTT), and fibrinogen (FIB)], and platelet related indicators (PLT, MPV, and MPV/PLT ratio) were collected. Pearson correlation method was used to analyze the correlation between pSIC score and MPV/PLT ratio as well as their correlation with coagulation indicators. Multivariate Logistic regression analysis was used to screen the independent risk factors for pediatric sepsis and critical pediatric sepsis. Receiver operator characteristic curve (ROC curve) was drawn to evaluate the application value of the above independent risk factors on the diagnosis of pediatric sepsis and the determination of critical pediatric sepsis. RESULTS: 112 children with sepsis and 50 children without sepsis were enrolled in the final analysis. pSIC score, PT, INR, APTT, FIB, MPV, and MPV/PLT ratio in the sepsis group were significantly higher than those in the control group [pSIC score: 0.93±0.10 vs. 0.06±0.03, PT (s): 14.76±0.38 vs. 12.23±0.15, INR: 1.26±0.03 vs. 1.06±0.01, APTT (s): 40.08±0.94 vs. 32.47±0.54, FIB (g/L): 3.51±0.11 vs. 2.31±0.06, MPV (fL): 8.86±0.14 vs. 7.62±0.11, MPV/PLT ratio: 0.037±0.003 vs. 0.022±0.001, all P < 0.01], and PLT was slightly lower than that in the control group (×10⁹/L: 306.00±11.01 vs. 345.90±10.57, P > 0.05). Among 112 children with sepsis, 46 were critically ill and 66 were non-critically ill. pSIC score, PT, INR, APTT, MPV, and MPV/PLT ratio in the critically ill group were significantly higher than those in the non-critically ill group [pSIC score: 1.74±0.17 vs. 0.36±0.07, PT (s): 16.55±0.80 vs. 13.52±0.23, INR: 1.39±0.07 vs. 1.17±0.02, APTT (s): 43.83±1.72 vs. 37.77±0.95, MPV (fL): 9.31±0.23 vs. 8.55±0.16, MPV/PLT ratio: 0.051±0.006 vs. 0.027±0.001, all P < 0.05], PLT was significantly lower than that in the non-critically ill group (×10⁹/L: 260.50±18.89 vs. 337.70±11.90, P < 0.01), and FIB was slightly lower than that in the non-critically ill group (g/L: 3.28±0.19 vs. 3.67±0.14, P > 0.05). Correlation analysis showed that pSIC score was significantly positively correlated with MPV/PLT ratio and coagulation indicators including PT, APTT and INR in pediatric sepsis (r value was 0.583, 0.571, 0.296 and 0.518, respectively, all P < 0.01), and MPV/PLT ratio was also significantly positively correlated with PT, APTT and INR (r value was 0.300, 0.203 and 0.307, respectively, all P < 0.05). Multivariate Logistic regression analysis showed that pSIC score and MPV/PLT ratio were independent risk factors for pediatric sepsis and critical pediatric sepsis [pediatric sepsis: odds ratio (OR) and 95% confidence interval (95%CI) for pSIC score was 14.117 (4.190-47.555), and the OR value and 95%CI for MPV/PLT ratio was 1.128 (1.059-1.202), both P < 0.01; critical pediatric sepsis: the OR value and 95%CI for pSIC score was 8.142 (3.672-18.050), and the OR value and 95%CI for MPV/PLT ratio was 1.068 (1.028-1.109), all P < 0.01]. ROC curve analysis showed that pSIC score and MPV/PLT ratio had certain application value in the diagnosis of pediatric sepsis [area under the ROC curve (AUC) and 95%CI was 0.754 (0.700-0.808) and 0.720 (0.643-0.798), respectively] and the determination of critical pediatric sepsis [AUC and 95%CI was 0.849 (0.778-0.919) and 0.731 (0.632-0.830)], and the combined AUC of the two indictors was 0.815 (95%CI was 0.751-0.879) and 0.872 (95%CI was 0.806-0.938), respectively. CONCLUSIONS pSIC score and MPV/PLT ratio have potential application value in the diagnosis of pediatric sepsis and the determination of critical pediatric sepsis, and the combined application of both is more valuable.
Humans ; Sepsis/complications* ; Platelet Count ; Mean Platelet Volume ; Retrospective Studies ; Child ; Blood Coagulation Disorders/diagnosis* ; Intensive Care Units, Pediatric ; Male ; Female ; Partial Thromboplastin Time ; Child, Preschool ; Blood Coagulation ; International Normalized Ratio ; Infant

OBJECTIVE: To investigate the changes of platelet count (PLT), plateletcrit (PCT), mean platelet volume (MPV) and platelet distribution width (PDW) before and after apheresis platelet transfusion, the correlation between the parameters and their clinical significance. METHODS: A total of 38 patients who received apheresis platelet transfusion were selected, their results of blood routine test closest to the time point of apheresis platelet transfusion were consulted from hospital information system and the changes of PLT, PCT, MPV and PDW were compared before and after transfusion. The correlation between above parameters was analyzed. The correlation of body mass index (BMI) with the increased multiple and increased value after platelet infusion was also analyzed. RESULTS: Compared with pre-infusion, PLT and PCT significantly increased (both P <0.001) while MPV and PDW showed no significant difference after apheresis platelet transfusion (P >0.05). The difference of PLT and PCT before and after apheresis platelet transfusion had no correlation with PLT and PCT before transfusion (r =0.002, r =0.001), while the difference of MPV and PDW was negatively correlated with MPV and PDW before transfusion (r =-0.462, r =-0.610). The PLT growth rate was positively correlated with PCT growth rate before and after apheresis platelet transfusion (r =0.819). BMI was positively correlated with the increased multiple of PLT after infusion (r =0.721), but not with the increased value of PLT after infusion (r =0.374). CONCLUSION Apheresis platelet transfusion can cause platelet parameters change and shows different characteristics. Characteristic changes of platelet parameters and their correlation can be used as reference indices to evaluate the efficacy of apheresis platelet transfusion.
Humans ; Mean Platelet Volume ; Platelet Transfusion ; Blood Platelets ; Platelet Count/methods* ; Blood Component Removal

OBJECTIVE: To study the reference ranges of platelet and related parameters within 24 hours after birth in preterm infants with different gestational ages. METHODS: According to the inclusion and exclusion criteria, a retrospective analysis was performed for the chart review data of 1 070 preterm infants with a gestational age of 23-36 weeks who were admitted to the neonatal intensive care unit from January to December in 2018. The reference ranges of platelet parameters were calculated for the preterm infants within 24 hours after birth. RESULTS: There were no significant differences in platelet count (PLT) and plateletcrit (PCT) among the preterm infants with different gestational ages (P>0.05). The late preterm infants (34-36 weeks; n=667) had significantly lower mean platelet volume (MPV) and platelet distribution width (PDW) than the extremely preterm infants (23-27 weeks; n=36) and the early preterm infants (28-33 weeks; n=367) (P<0.05). There were no significant differences in these platelet parameters between the preterm infants with different sexes (P>0.05). The reference ranges of platelet parameters in preterm infants were calculated based on gestational age. The reference ranges of PLT and PCT were (92-376)×10/L and 0.1%-0.394% respectively, for the preterm infants with a gestational age of 23-36 weeks. The reference ranges of MPV and PDW were 9.208-12.172 fl and 8.390%-16.407% respectively, for the preterm infants with a gestational age of 23-36 weeks; the reference ranges of MPV and PDW were 9.19-11.95 fl and 9.046%-15.116% respectively, for the preterm infants with a gestational age of 34-36 weeks. CONCLUSIONS The MPV and PDW of preterm infants with different gestational age are different within 24 hours after birth, and it is more helpful for clinical practice to formulate the reference range of MPV and PDW according to gestational age.
Blood Platelets ; Gestational Age ; Humans ; Infant, Newborn ; Mean Platelet Volume ; Reference Values ; Retrospective Studies

mean corpuscular hemoglobin concentration (p = 0.029), and mean platelet volume (p = 0.017), significantly increased and the levels of mean corpuscular volume (MCV; p = 0.023), RBC distribution width-coefficient of variation (p = 0.005), platelet distribution width (p = 0.015), and ferritin (p = 0.002) significantly decreased compared to the baseline in group receiving quercetin. Between group analysis revealed that RBC significantly increased (p = 0.025) but, mean corpuscular volume (p = 0.004), mean corpuscular hemoglobin (MCH; p = 0.002), and ferritin (p = 0.013) significantly decreased compared to placebo group. In this work quercetin showed significant effect on RBC, ferritin, MCV, and MCH in intervention group.TRIAL REGISTRATION: Iranian Center for Clinical Trials Identifier: IRCT2016060628299N1]]>
Anemia ; Blood Platelets ; Erythrocyte Indices ; Erythrocytes ; Ferritins ; Hematology ; Humans ; Inflammation ; Liver Diseases ; Mean Platelet Volume ; Non-alcoholic Fatty Liver Disease ; Oxidative Stress ; Pilot Projects ; Public Health ; Quercetin

Objective: The aim of this systematic review and meta-analysis is to determine summary estimates of the diagnostic accuracy of mean platelet volume for the diagnosis of myocardial infarction among adult patients with angina and/or its equivalents in terms of sensitivity, specificity, diagnostic odds ratio, and likelihood ratios. Methodology: The primary search was done through search in electronic databases. Cross-sectional, cohort, and case-control articles studying the diagnostic performance of mean platelet volume in the diagnosis of acute myocardial infarction in adult patients were included in the study. Eligible studies were appraised using well-defined criteria. Results: The overall mean MPV value of those with MI (9.702 fl; 95% CI 9.07 – 10.33) was higher than in those of the non-MI control group (8.85 fl; 95% CI 8.23 – 9.46). Interpretation of the calculated t-value of 2.0827 showed that there was a significant difference in the mean MPV values of those with MI and those of the non-MI controls. The summary sensitivity (Se) and specificity (Sp) for MPV were 0.66 (95% CI; 0.59 - 0.73) and 0.60 (95% CI; 0.43 – 0.75), respectively. The pooled diagnostic odds ratio (DOR) was 2.92 (95% CI; 1.90 – 4.50). The positive likelihood ratio of MPV in the diagnosis of myocardial infarction was 1.65 (95% CI; 1.20 – 22.27), and the negative likelihood ratio was 0.56 (95% CI; 0.50 – 0.64). Conclusion The intended role for MPV in the diagnostic pathway of myocardial infarction would perhaps be best as a triage tool. MPV values can discriminate between those who have MI and those without. For a patient with angina presenting with elevated MPV values, it is 1.65 times more likely that he has MI. It is implied that the decision to treat a patient with angina or its equivalents as a case of MI could be supported by an elevated MPV value.
Mean Platelet Volume ; Myocardial Infarction ; Chest Pain

OBJECTIVE: To investigate the changes of mean platelet volume (MPV), platelet distribution width (PDW) and platelet associated antibodies (PAIg) in children with acute immune thrombocytopenic purpura (aITP), and to explore the diagnostic value of MPV, PDW, PAIg and their combination for megakaryocyte dysmaturity in aITP children. METHODS: Plt count, MPV and PDW of 36 aITP children were measured by using Sysmex XN automatic blood cell analyzer, and 33 children with acquired thrombocytopenic purpura (ATP) without megakaryocyte dysmaturity. The expression of PAIg was detected by flow cytometry, and the number and classification of megakaryocytes in the bone marrow were performed by marrow cytology. The diagnostic significances of MPV, PDW, PAIg and their combination as well as the sensitivity and specificity for megakaryocytes dysmaturity in aITP were assessed through calculating the area under ROC curve (AUC), after determining the influence of each parameters on the megakaryocyte dysmaturity by Logistic regression. RESULTS: MPV, PDW and PAIg of aITP children were significantly higher than those of the ATP children (P＜0.05), while the Plt count and number of thromocytogenic megakaryocytes per area (1.5 cm×3 cm) were less than those of the controls (P＜0.05). Count of RBC and WBC, percentages of neutrophil granulocytes and lymphocydes in aITP were similar to those in the controls（P＞0.05）. The results of Logistic regression showed that Plt count, MPV, PDW and PAIg were the factors influencing megakaryocyte dysmaturity in aITP children, and the regression model has a high statistical significance (χ=65.491，P=0.001) and r square (R=0.713). The AUC of the combined detection of Plt count, MPV, PDW and PAIg was 0.863, which was much higher than that of Plt count, MPV, PDW, PAIg individually or in pairs. The sensitivity and specificity of the combined detection were 79.167% and 89.697%, which were higher than those of Plt count, MPV, PDW, PAIg individually or in pairs. CONCLUSION The diagnostic significance of MPV and PDW for megakaryocyte dysmaturity in aITP are insufficient, but the diagnostic efficacy can be improved by combined examination with PAIg.
Antibodies ; Blood Platelets ; Child ; Humans ; Mean Platelet Volume ; Megakaryocytes ; Platelet Count ; Purpura, Thrombocytopenic, Idiopathic ; diagnosis